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By Patrice Carbonneau

This publication deals a finished evaluation of growth within the normal sector of fluvial distant sensing with a selected concentrate on its capability contribution to river administration. The e-book highlights a number demanding matters via contemplating quite a number spatial and temporal scales with views from numerous disciplines. The publication begins with an outline of the technical development resulting in new administration functions for a number of box contexts and spatial scales. themes contain color imagery, multi-spectral and hyper-spectral imagery, video, photogrammetry and LiDAR. The booklet then discusses administration purposes comparable to specified, community scale, making plans, land-use switch modelling at catchment scales, characterisation of channel reaches (riparian plants, geomorphic good points) in either spatial and temporal dimensions, fish habitat evaluate, move dimension, tracking river recovery and upkeep and, the appraisal of human perceptions of riverscapes.

Key Features:
• a particular concentrate on administration purposes in a interval of accelerating calls for on managers to represent river positive aspects and their evolution at assorted spatial scales
• An integration throughout all scales of images with a transparent dialogue of either flooring dependent and airborne images
• features a wide-range of environmental difficulties
• assurance of state of the art expertise
• Contributions from prime researchers within the field

Chapter 1 advent: The starting to be Use of images in primary and utilized River Sciences (pages 1–18): Patrice E. Carbonneau and Herve Piegay
Chapter 2 administration functions of Optical distant Sensing within the energetic River Channel (pages 19–41): W. Andrew Marcus, Mark A. Fonstad and Carl J. Legleiter
Chapter three An advent to the actual foundation for Deriving River details by means of Optical distant Sensing (pages 43–69): Carl J. Legleiter and Mark A. Fonstad
Chapter four Hyperspectral Imagery in Fluvial Environments (pages 71–84): Mark J. Fonstad
Chapter five Thermal Infrared distant Sensing of Water Temperature in Riverine Landscapes (pages 85–113): Rebecca N. Handcock, Christian E. Torgersen, Keith A. Cherkauer, Alan R. Gillespie, Klement Tockner, Russel N. pretend and Jing Tan
Chapter 6 using Radar Imagery in Riverine Flood Inundation reports (pages 115–140): man J?P. Schumann, Paul. D. Bates, Giuliano Di Baldassarre and David C. Mason
Chapter 7 Airborne LiDAR tools utilized to Riverine Environments (pages 141–161): Jean?Stephane Bailly, Paul J. Kinzel, Tristan Allouis, Denis Feurer and Yann Le Coarer
Chapter eight Hyperspatial Imagery in Riverine Environments (pages 163–191): Patrice E. Carbonneau, Herve Piegay, Jerome Lejot, Robert Dunford and Kristell Michel
Chapter nine Geosalar: cutting edge distant Sensing equipment for Spatially non-stop Mapping of Fluvial Habitat at Riverscape Scale (pages 193–213): Normand Bergeron and Patrice E. Carbonneau
Chapter 10 photograph Utilisation for the examine and administration of Riparian crops: evaluation and functions (pages 215–239): Simon Dufour, Etienne Muller, Menno Straatsma and S. Corgne
Chapter eleven Biophysical Characterisation of Fluvial Corridors at succeed in to community Scales (pages 241–269): Herve Piegay, Adrien Alber, J. Wesley Lauer, Anne?Julia Rollet and Elise Wiederkehr
Chapter 12 The function of Remotely Sensed info in destiny situation Analyses at a local Scale (pages 271–297): Stan Gregory, Dave Hulse, Melanie Bertrand and Doug Oetter
Chapter thirteen using Imagery in Laboratory Experiments (pages 299–321): Michal Tal, Philippe Frey, Wonsuck Kim, Eric Lajeunesse, Angela Limare and Francois Metivier
Chapter 14 flooring established LiDAR and its software to the Characterisation of Fluvial varieties (pages 323–339): Andy huge and George Heritage
Chapter 15 purposes of Close?Range Imagery in River learn (pages 341–366): Walter Bertoldi, Herve Piegay, Thomas Buffin?Belanger, David Graham and Stephen Rice
Chapter sixteen River tracking with Ground?Based Videography (pages 367–383): Bruce J. MacVicar, Alexandre Hauet, Normand Bergeron, Laure Tougne and Imtiaz Ali
Chapter 17 Imagery on the Organismic point: From physique form Descriptions to Micro?Scale Analyses (pages 385–404): Pierre Sagnes
Chapter 18 flooring Imagery and Environmental conception: utilizing Photo?Questionnaires to guage River administration innovations (pages 405–429): Yves?Francois Le Lay, Marylise Cottet, Herve Piegay and Anne Riviere?Honegger
Chapter 19 destiny customers and demanding situations for River Scientists and executives (pages 431–434): Patrice E. Carbonneau and Herve Piegay

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Extra resources for Fluvial Remote Sensing for Science and Management

Sample text

John Wiley and Sons. 804 pp. Y. 2010. Remote sensing of chlorophyll-a concentrations of the Pearl River Estuary from MODIS land bands. International Journal of Remote Sensing, 31(17-18), 4625–4633. A. 2008. Optical remote mapping of rivers at sub-meter resolutions and watershed extents. Earth Surface Processes and Landforms, 33(1), 4–24. A. 2010. Remote sensing of rivers: the emergence of a subdiscipline in the river sciences. Earth Surface Processes and Landforms, 35(15), 1867–1872. L. 2003.

2005). , 2009). These approaches to ground-based mapping of sediment size are useful at the scale of an individual plot, bar, or reach but are not feasible over longer lengths of stream where thousands to millions of photos or ground-based surveys might be required to cover the entire area. It is only recently that airborne optical imagery has been available at sufficiently fine spatial resolutions to measure sediment size over long lengths of stream. The coarser resolution of these photos compared to ground images, however, limits what they can detect.

2 Management Applications of Optical Remote Sensing in the Active River Channel W. Andrew Marcus1 , Mark A. Fonstad1 and Carl J. ’ These are all critical questions, and answering them correctly determines whether a remote sensing approach will substantially benefit a project or detract from the project’s success. This chapter addresses these questions in the context of passive optical imagery of the active river channel. ‘Passive’ refers to the measurement of light occurring naturally in the environment – reflected solar energy.

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